{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torchvision.transforms as transforms\n",
    "from PIL import Image\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "img_path = '/home/luo3300612/Workspace/PycharmWS/mySuperPoint/dataset/data/draw_checkerboard/images/training/0.png'\n",
    "img = Image.open(img_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f2ef62730f0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.axis('off')\n",
    "plt.imshow(img,cmap='gray')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "T = transforms.Compose([transforms.ColorJitter(0.7,0.4,0.2,0.2)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "img_after = T(img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f2ef588ed30>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(img_after,cmap='gray')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "superpoint",
   "language": "python",
   "name": "superpoint"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
